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改进型Logistic混沌映射及其在图像加密与隐藏中的应用

刘公致 吴琼 王光义 靳培培

刘公致, 吴琼, 王光义, 靳培培. 改进型Logistic混沌映射及其在图像加密与隐藏中的应用[J]. 电子与信息学报, 2022, 44(10): 3602-3609. doi: 10.11999/JEIT210763
引用本文: 刘公致, 吴琼, 王光义, 靳培培. 改进型Logistic混沌映射及其在图像加密与隐藏中的应用[J]. 电子与信息学报, 2022, 44(10): 3602-3609. doi: 10.11999/JEIT210763
LIU Gongzhi, WU Qiong, WANG Guangyi, JIN Peipei. A Improved Logistic Chaotic Map and Its Application to Image Encryption and Hiding[J]. Journal of Electronics & Information Technology, 2022, 44(10): 3602-3609. doi: 10.11999/JEIT210763
Citation: LIU Gongzhi, WU Qiong, WANG Guangyi, JIN Peipei. A Improved Logistic Chaotic Map and Its Application to Image Encryption and Hiding[J]. Journal of Electronics & Information Technology, 2022, 44(10): 3602-3609. doi: 10.11999/JEIT210763

改进型Logistic混沌映射及其在图像加密与隐藏中的应用

doi: 10.11999/JEIT210763
基金项目: 国家自然科学基金(61771176)
详细信息
    作者简介:

    刘公致:男,副研究员,研究方向为非线性电路与系统

    吴琼:男,硕士生,研究方向为混沌密码理论及应用

    王光义:男,教授,研究方向为新型纳米记忆器件理论及应用、混沌密码、信息加密与保密通信

    靳培培:女,博士生,研究方向为非线性电路及应用、忆阻器神经网络

    通讯作者:

    王光义 wanggyi@163.com

  • 中图分类号: TN918.4; TP309.7

A Improved Logistic Chaotic Map and Its Application to Image Encryption and Hiding

Funds: The National Natural Science Foundation of China (61771176)
  • 摘要: 鉴于原Logistic映射的映射范围有限、混沌参数范围小、分布不均匀等缺陷,该文提出一个新的改进型Logistic混沌映射。该映射有$ \mu $$ \alpha $两个参数,$ {x_{n - 1}} $$ {x_n} $两个初值,参数和初值选取范围可扩展到任意实数,其混沌映射均为满映射,且映射范围可任意调控。将该映射应用到图像加密,其算法采用像素值异或(XOR)加密、像素位置置乱处理。之后再把密文数据隐藏在与密文无关的载图之中。对密文图像做了一系列的分析,包括图像的相邻像素点相关性,直方图分析和密钥敏感性测试。分析结果表明,所提加密算法具有很好的安全性和加密效果。
  • 图  1  改进的Logistic映射

    图  2  加密过程

    图  3  原图与密文图像像素相关性比较

    图  4  直方图比较

    图  5  密文嵌入方式

    图  6  密文隐藏效果比较

    图  7  密文提取与明文还原

    表  1  Logistic映射与改进的Logistic映射比较

    映射范围初值取值范围参数µ取值范围
    原Logistic映射[0,1][0,1](0,4]
    改进的Logistic映射任意实数任意实数任意实数
    下载: 导出CSV

    表  2  明文/密文图像在3个方向上的相关系数

    垂直方向水平方向对角方向
    明文图像0.97800.96850.9380
    密文图像0.0029–0.0342–0.0021
    下载: 导出CSV

    表  3  密钥敏感性分析(%)

    NPCRUACI
    只改变$ {x_{n - 1}} $99.546833.5983
    只改变$ {x_n} $99.569233.6474
    只改变$ \mu $99.579633.6091
    下载: 导出CSV

    表  4  明文敏感性分析(%)

    NPCRUACI
    像素点199.572433.6345
    像素点299.571633.6354
    像素点399.572833.6357
    平均值99.572333.6352
    下载: 导出CSV

    表  5  不同算法时间复杂度比较

    算法时间复杂度
    文献[15]$ O(9 \times M \times N) $
    文献[16]$O(8 \times M \times N \times \log(M \times N))$
    本文$ O(8 \times M \times N) $
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-08-02
  • 修回日期:  2021-12-11
  • 录用日期:  2021-12-14
  • 网络出版日期:  2021-12-27
  • 刊出日期:  2022-10-19

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